Grid load balancing using enhance ant colony optimization
This study presents a new algorithm based on ant colony optimization for load balancing management in grid computing. The concentration is on improving the way ants search the best resources in terms of minimizing the processing time of each job and at the same time balancing the workload on availa...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/4011/1/Ku_Ru.pdf |
| _version_ | 1803624766818484224 |
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| author | Ku-Mahamud, Ku Ruhana Abdul Nasir, Husna Jamal Mohamed Din, Aniza |
| author_facet | Ku-Mahamud, Ku Ruhana Abdul Nasir, Husna Jamal Mohamed Din, Aniza |
| author_sort | Ku-Mahamud, Ku Ruhana |
| collection | UUM |
| description | This study presents a new algorithm based on ant colony
optimization for load balancing management in grid computing. The concentration is on improving the way ants search the best resources in terms of minimizing the processing time of each job and at the same time balancing the workload on available resources. An enhanced technique is proposed for the pheromone update activities. Single colony of ants is used for searching the best resources to process jobs. The credibility of the proposed algorithm was tested with other load balancing algorithim and results showed that the proposed algorithm was able to balance the load on the resources. |
| first_indexed | 2024-07-04T05:23:36Z |
| format | Conference or Workshop Item |
| id | uum-4011 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:23:36Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | uum-40112015-04-07T07:03:11Z https://repo.uum.edu.my/id/eprint/4011/ Grid load balancing using enhance ant colony optimization Ku-Mahamud, Ku Ruhana Abdul Nasir, Husna Jamal Mohamed Din, Aniza QA76 Computer software This study presents a new algorithm based on ant colony optimization for load balancing management in grid computing. The concentration is on improving the way ants search the best resources in terms of minimizing the processing time of each job and at the same time balancing the workload on available resources. An enhanced technique is proposed for the pheromone update activities. Single colony of ants is used for searching the best resources to process jobs. The credibility of the proposed algorithm was tested with other load balancing algorithim and results showed that the proposed algorithm was able to balance the load on the resources. 2011-06 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/4011/1/Ku_Ru.pdf Ku-Mahamud, Ku Ruhana and Abdul Nasir, Husna Jamal and Mohamed Din, Aniza (2011) Grid load balancing using enhance ant colony optimization. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011 , Bandung, Indonesia. http://www.icoci.cms.net.my |
| spellingShingle | QA76 Computer software Ku-Mahamud, Ku Ruhana Abdul Nasir, Husna Jamal Mohamed Din, Aniza Grid load balancing using enhance ant colony optimization |
| title | Grid load balancing using enhance ant colony optimization |
| title_full | Grid load balancing using enhance ant colony optimization |
| title_fullStr | Grid load balancing using enhance ant colony optimization |
| title_full_unstemmed | Grid load balancing using enhance ant colony optimization |
| title_short | Grid load balancing using enhance ant colony optimization |
| title_sort | grid load balancing using enhance ant colony optimization |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/4011/1/Ku_Ru.pdf |
| work_keys_str_mv | AT kumahamudkuruhana gridloadbalancingusingenhanceantcolonyoptimization AT abdulnasirhusnajamal gridloadbalancingusingenhanceantcolonyoptimization AT mohameddinaniza gridloadbalancingusingenhanceantcolonyoptimization |